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lssvm
- %% 清空环境 clc clear load wine; train = [wine(1:30,:);wine(60:95,:);wine(131:153,:)]; train_label = [wine_labels(1:30);wine_labels(60:95);wine_labels(131:153)]; test = [wine(31:59,:);wine(96:130,:);wine(154:178,:)]; test_label = [wine_labels(31
KPCA.rar
- 快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少,Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many
GA-PSOPSO
- (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
LS_SVMlab
- 最基本的最小二支持向量机算法程序 比较完整，比较经典-lssvm
SVM_Short-term-Load-Forecasting
- 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，
PSO-LSSVM
- ：针对暖通空调(小，AC)系统，提出一种基于粒子群优化(Pso)算法和最小二乘支持向量机(LSSVM)的预测控 制方法。-: For HVAC (small, AC) system is proposed based on particle swarm optimization (Pso) algorithm and least squares support vector machine (LSSVM) predictive control methods.
LSSVM-CODE
- 利用LSSVM的分类算法中多类分类算法程序，对企业的安全绩效实现评估。-using LSSVM classification algorithmmulti-class classification algorithm procedures to evaluate the security performance of a company
LSSVM
- 最小二乘支持向量机算法，用于单一数据样本的预测，也可用于模式识别。特别适用于小样本数据样本的预测。-Least squares support vector machine algorithm, is used to predict the single sample data, but also can be used for pattern recognition. Forecasting is especially suitable for small sample data.
SFLA-LSSVM
- 自己编写的 混洗蛙跳算法优化最小二乘支持向量机参数 把文件里的数据、LSSVM模型更换，就可以移植-written by Son.Y.M Shuffled frog leaping algorithm to optimize the parameters of LS-SVM The data in the file, LSSVM model replacement, you can transplant
最小二乘支持向量机
- 最小二乘支持向量机的调用函数，可用于分类或者预测，只需修改几个参数，即可执行。
lssvm-lisp
- 使用lisp实现最小二乘支持向量机时间序列预测预测算法-LSSVM by lisp
lssvm-regression-code
- 基于LSSVM的最小二乘支持向量机回归程序，预测地基沉降，单因变量LSSVM回归算法 -lssvm the program，least squares support vector machine, easy to use
LSSVM-master
- LSSVM算法 数据回归 java 适合项目开发(LSSVM algorithm, java)
LSSVM
- 最小二乘支持向量机，改进后的支持向量机算法(least squares support vector machine, Improved least squares support vector machine)
PSO-lssvm
- 利用PSO-LSSVM算法实现模式识别功能(Using PSO-LSSVM algorithm to realize pattern recognition)
PSO-LSSVM
- PSO-LSSVM算法的matlab实现，利用PSO算法对LSSVM模型的初始参数求解，以期望得到最好的模型。(PSO-LSSVM algorithm is implemented in matlab, and PSO algorithm is used to solve the initial parameters of LSSVM model in order to get the best model.)
GA-LSSVM.m
- 遗传算法优化最小二乘支持向量机的核函数参数和正则化参数(Optimization of Kernel Function and Regularization Parameters of Least Square Support Vector Machine by Genetic Algorithms)
VNWOA优化LSSVM
- 鲸鱼算法，PSO,GA,优化核极限学习机，(Whale algorithm, PSO, GA, optimized nuclear extreme learning machine,)
bayes-LSSVM
- 贝叶斯算法优化了LSSVM的算例，算例中有贝叶斯算法优化，相对比较少见的优化。(Bayesian algorithm optimizes LSSVM examples)
LSSVM
- 结合风场实时数据以及风场气象数据，分析了实时数据并制定了数据清洗规则；针对风电功率预测领域预测精度低的问题，采用lssvm算法进行预测。(Combined with real-time wind field data and wind field meteorological data, the real-time data was analyzed and data cleaning rules were formulated. For the problem of low predictio